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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Engineer - 2026 Vision

QuantumLeap Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join QuantumLeap Technologies at the forefront of innovation as we build the AI-powered solutions that will define 2026. We're seeking a visionary AI/ML Engineer to architect and deploy cutting-edge models that transform industries. Our San Francisco hub operates at the intersection of quantum computing and neural networks, creating unprecedented opportunities to shape the future. You'll collaborate with Nobel laureates and industry pioneers in an environment that rewards bold thinking and technical excellence. We offer equity, unlimited PTO, and a comprehensive wellness program designed for peak performance.

Responsibilities

  • Design and implement production-grade ML pipelines for real-time decision systems
  • Research and prototype next-gen AI architectures (quantum-enhanced neural networks)
  • Optimize models for edge deployment across IoT and autonomous systems
  • Lead ethical AI framework development ensuring bias mitigation and transparency
  • Mentor cross-functional teams in AI/ML best practices and implementation
  • Drive innovation through quarterly tech sprints with 30% dedicated R&D time
  • Contribute to patent filings for novel AI methodologies

Qualifications

  • MS/PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Expertise in Python, TensorFlow/PyTorch, and distributed ML frameworks
  • Proven track record deploying models at scale (100M+ user systems)
  • Published research in top-tier AI conferences (NeurIPS, ICML)
  • Experience with MLOps tools (Kubeflow, MLflow) and cloud infrastructure
  • Deep understanding of transformer architectures and generative AI
  • Strong background in statistical modeling and algorithm optimization

Required Skills

Python TensorFlow PyTorch Quantum Computing MLOps Generative AI Distributed Systems Neural Networks Ethical AI

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